{"id":"W7131301389","doi":"10.25549/wpacards-c8-139551","title":"WPA household census for 1631 FEDERAL AVE, Los Angeles","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; American Community Survey; Administration (probate law); Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007143636,0.001311201,0.001220823,0.003722352,0.000650655,0.002128824,0.001594893,0.000527708,0.09725771],"category_scores_gemma":[0.00477531,0.0006726852,0.0006286741,0.009877541,0.0002038802,0.001497205,0.001058073,0.001631564,0.1091256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021689,"about_ca_system_score_gemma":0.004260771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1489069,"about_ca_topic_score_gemma":0.1534654,"domain_scores_codex":[0.9990601,0.0001189551,0.0001341884,0.0002613894,0.0003083549,0.0001170015],"domain_scores_gemma":[0.9973278,0.0002739994,0.0002619707,0.0002719474,0.001704255,0.0001599729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006803465,0.000005507555,0.0006518601,0.0001246793,0.000007006389,0.000006358301,0.00001269795,0.00003786903,0.000006180157,0.000264186,0.9971417,0.001735146],"study_design_scores_gemma":[0.00005092333,0.000006259534,0.01281571,0.0003206211,0.00001751251,0.00002686259,0.0001683448,0.0001563792,0.00005189655,0.0004509982,0.9859185,0.00001605157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000120259,0.00007609036,0.00005761436,0.00005423788,0.00002084894,0.00001314497,0.9977235,0.00006177265,0.001872464],"genre_scores_gemma":[0.0005996994,0.0002220619,0.0001880613,0.00004470592,0.00001619886,0.0001447312,0.994635,0.00005195542,0.004097479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1489069,"threshold_uncertainty_score":0.3253594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550660514558766,"score_gpt":0.1781898392486475,"score_spread":0.1626832341030598,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}